Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Esther Rolf"'
Autor:
Esther Rolf, Jonathan Proctor, Tamma Carleton, Ian Bolliger, Vaishaal Shankar, Miyabi Ishihara, Benjamin Recht, Solomon Hsiang
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
This paper presents MOSAIKS, a system for planet-scale prediction of multiple outcomes using satellite imagery and machine learning (SIML). MOSAIKS generalizes across prediction domains and has the potential to enhance accessibility of SIML across re
Externí odkaz:
https://doaj.org/article/35ce16c6215c446488bcca5b7caf036c
Publikováno v:
IEEE Transactions on Robotics. 37:34-47
In this article, we study an adaptive source seeking problem, in which a mobile robot must identify the strongest emitter(s) of a signal in an environment with background emissions. Background signals may be highly heterogeneous and can mislead algor
Autor:
Jeanette Tseng, Peiley Lau, Esther Rolf, Tiffany Wu, Luna Yue Huang, Daniel Allen, Jaecheol Lee, Hannah Druckenmiller, Kendon Bell, Solomon Hsiang, Ian Bolliger, Andrew Hultgren, Emma Krasovich, Sébastien Annan-Phan, Trinetta Chong
Publikováno v:
Nature
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Autor:
Esther Rolf, Kendon Bell, Andrew Hultgren, Sébastien Annan-Phan, Daniel Allen, Hannah Druckenmiller, Luna Yue Huang, Jeanette Tseng, Trinetta Chong, Jaecheol Lee, Solomon Hsiang, Ian Bolliger, Emma Krasovich, Peiley Lau, Tiffany Wu
Publikováno v:
Nature
Governments around the world are responding to the novel coronavirus (COVID-19) pandemic1 with unprecedented policies designed to slow the growth rate of infections. Many actions, such as closing schools and restricting populations to their homes, im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cb772bf1ab6122e5924319e219e9877
https://doi.org/10.1101/2020.03.22.20040642
https://doi.org/10.1101/2020.03.22.20040642
Autor:
Miyabi Ishihara, Benjamin Recht, Vaishaal Shankar, Solomon Hsiang, Ian Bolliger, Esther Rolf, Tamma Carleton, Jonathan Proctor
Publikováno v:
Nature communications, vol 12, iss 1
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Combining satellite imagery with machine learning (SIML) has the potential to address global challenges by remotely estimating socioeconomic and environmental conditions in data-poor regions, yet the resource requirements of SIML limit its accessibil
Publikováno v:
IJCAI
Fairness in machine learning has predominantly been studied in static classification settings without concern for how decisions change the underlying population over time. Conventional wisdom suggests that fairness criteria promote the long-term well
Publikováno v:
Robot Intelligence Technology and Applications 2 ISBN: 9783319055817
RiTA
RiTA
Heterogeneous networks of humans, robots, and agents are becoming increasingly common. Clients of wireless networks have continuously changing requirements for providers. In this project, a system to provide a sufficient signal for clients of a netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9df2292240ce95a6240359cea7b6df85
https://doi.org/10.1007/978-3-319-05582-4_81
https://doi.org/10.1007/978-3-319-05582-4_81